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Business Administration, Business
Process and Supply Chain Management
Master Degree Project 30 ECTS
Skills and competencies
employers require from supply
chain graduates A job advertisements content analysis
Author: Nikolaos S. Grigoriadis
820731
Supervisor: Peter Berling
Examiner: Helena Forslund
Date: 2014-09-15
Course code: 5FE02E
i
Abstract
Background: The skills and competencies of the professionals in the supply chain
sector have been highlighted since the 1960s as an area of academic interest. In modern
days there are reports and articles highlighting a “skills-gap” between employers’
requirements and business graduates. In the meanwhile youth unemployment is a
contemporary, acknowledged European problem and therefore there shouldn’t be a gap
between supply and demand of young talents. Therefore it raises questions as to why
employers report lack of young talents and at the same time youth unemployment is on
the rise.
Purpose: The present thesis will answer part of the abovementioned questions. More
specifically it will measure the part of employers’ expectations. For that reason it will
investigate in a transparent and systematic way, the requirements that employers state
they expect from business graduates within the supply chain function through published
job advertisements.
Method: Empirical data consist of 60 publically available job advertisements aiming at
supply chain graduates. The collected empirical data were analysed by the means of
quantitative content analysis and then cluster analysis.
Results and conclusion: The contemporary supply chain graduate is expected to
demonstrate an all-around personality. The most frequently requested skills were
teamwork, problem-solving ability, effective communication, English, and having a
responsible, mature and professional attitude.
Suggestions for future research: A longitudinal study in a broader linguistic context
would raise awareness on emerging skills and track changes over time.
Keywords
supply chain, graduates, skills, competencies, employers, job advertisements,
quantitative, content analysis, cluster analysis,
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Thanks
I consider the present thesis not an individual’s piece of work but rather the result of
support coming from a group of people.
It would certainly be impossible to happen without the constant support of my dear
family and Elektra Kotzampopoulou.
All the professors in the master programme of business process and supply chain
management have opened doors to knowledge, I previously ignored. Therefore I am
thankful to every single one of them. Exceptionally I must thank my tutor Peter Berling
and my examiner Helena Forslund for their patience, advice, and guidance.
Växjö, September 2014
Nikolaos S. Grigoriadis
iii
Contents
1 Introduction _________________________________________________________ 4
1.1 Background ______________________________________________________ 4
1.2 Problem Discussion _______________________________________________ 5
1.3 Purpose statement _________________________________________________ 7
1.4 Basic Terminology and delimitations __________________________________ 8
1.5 Research questions ________________________________________________ 8
2 Methodology _________________________________________________________ 9
2.1 Methodological Review ____________________________________________ 9
2.2 Research paradigm _______________________________________________ 10
2.3 The nature of SCM research and content analysis _______________________ 11
2.4 Cluster analysis __________________________________________________ 13
2.5 Message units and sampling ________________________________________ 14
2.6 Ethical considerations _____________________________________________ 16
2.7 Reliability and validity ____________________________________________ 17
3 Theory _____________________________________________________________ 18
3.1 Introduction ____________________________________________________ 18
3.2 Aim, Delimitations and Basic Terminology ____________________________ 19
3.3 Literature description _____________________________________________ 21
3.4 Results synthesis _________________________________________________ 22
4 Empirical Data ______________________________________________________ 27
5 Analysis ____________________________________________________________ 34
6 Conclusions ________________________________________________________ 40
References ___________________________________________________________ 43
Appendices ___________________________________________________________ I
Appendix A – The job advertisements _____________________________________ I
Appendix B – The coding manual _____________________________________ XIV
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1 Introduction
This chapter provides a background description of the research area by explaining how
supply chain management is linked to the social world, addressing a contemporary
social problem . The chapter outlines a motivation for the importance of writing the
thesis, a problem discussion, research questions, purpose and disposition of the thesis.
1.1 Background
“Educational accomplishments denoted by academic degrees or by certificates are not
accomplishments at all if in the process of acquiring learning the holders of the degrees
or certificates have not gained awareness of their responsibilities to the public as well
to their organisations they serve” (Scheleen, 1961, p. 8)
The statement above is from the very first editorial of Transportation Journal in 1961, a
statement that very didactically highlights the strong link between logistics education
and society. A bidirectional relationship, as the author later suggests, for it is also the
society’s purpose to develop transportation statesmen, a word that implies something
more than plain coordinators, and that is people who are expected to demonstrate skilful
management of public affairs and possess adequate knowledge in economics,
marketing, accounting, and finance in order to understand fully the panoramic view of
the enterprise (Scheleen, 1961).
In the same scientific direction, and in continuation to transportation management,
supply chain management (SCM) viewed as a business philosophy is part of the social
sciences. As such, it is expected in postgraduate (masters) programmes to provide
knowledge and skills demanded by industries operating within a broader social context
(Bourlakis, et al., 2013).
The supply and demand mismatches in vocational training is a chronic concern of the
contemporary society, yet the ability of the educational system to keep searching for the
right direction is what really counts over time (Moura Castro & Cabral de Andrade,
1990).
Articles regarding the significance of educational issues in SCM have been published
for over fifty years. Another article from the early 1960’s discusses the educational
needs of the traffic managers (a prevailing term at the time) and underlines the
importance of educated and multi-skilled logisticians. Furthermore the issue of
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graduates entering the transportation’s sector is being briefly analysed along with the
need for continuously up-to-date courses from the educational institutes (Henderson, Jr,
1963). Up to this date, academia is showing a continuous interest to improve our
understanding on the proper education for a supply chain manager and the competencies
that he/she should possess, through the frequent publication of articles concerning the
issue (Murphy & Poist, 2006; Thai, 2012).
Murphy & Poist have extensively studied the set of skills and competencies for supply
chain managers and logisticians from various viewpoints (1991a, 1991b, 1998, 2006,
2007) using the BLM (Business, Logistics, Management) framework developed by
Poist in 1984. A framework, consisting of approximately 70 skills, used also by other
authors (Thai, 2012; Thai, et al., 2011), with three standard axis of skills, Business,
Logistics and Management.
The skills of supply chain management professionals have also been addressed from an
educational mismatch perspective (Mangan, et al., 2001; Bourlakis, et al., 2013). A
research viewpoint that tends to emphasize more on the supply and demand mismatches
in business graduates education, between master programmes and jobs advertisements
with the use of content analysis (Bourlakis, et al., 2013) or interviews (Mangan, et al.,
2001) rather than testing through surveys the relative importance of each BLM skill in
different contexts.
From a management control point of view, the importance of knowledge and skills in
SCM is very well illustrated in the Balanced Scorecard, where the human resources
section, including the employee skill measures, forms the base of an organization’ s
performance (Kaplan & Norton, 1996). With more recent studies to indicate that even
purely supply chain scorecards could benefit from incorporating measures from human
resources about training and retention (Lohman, et al., 2004) the vital role of SCM skills
in the contemporary organization becomes more apparent.
1.2 Problem Discussion
In a broader context, a recent Eurostat report shows that youth unemployment in the old
continent is at decade high and the trend does not look promising to decline (Eurostat,
2014). The European heads of state are acknowledging the challenging situation and
are showing a concerned attitude for the confrontation of the phenomenon. In July 2013,
after a summit in Berlin to discuss the issue, the German chancellor Angela Merkel
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stated that it is “perhaps the most pressing problem facing Europe at the present time”
(Der Spiegel b, 2013), while later on that year’s November in Paris, François Hollande
said “at stake is the future of an entire generation” (Der Spiegel a, 2013). Two summits
dedicated to youth unemployment were held during 2013 by the European Union and a
third one is planned to take place in Rome on February 2014.
Figure 1 Youth unemployment and employers' expectations, source: The Economist
One of the explanatory theories supports the argument that despite more people looking
for work, employers cannot find the skills they need in several European countries with
Sweden being among them (McKinsey&Company, 2013). On 18th January 2014, an
Economist’s article referring to the McKinsey report, discusses and relates the
abovementioned phenomenon to the fast-changing jobs market and the employers’
expectations on graduates’ qualifications. One of the conclusions, in the article, is that
there is a “mismatch between what educations systems provide and what employers
need”.
Another recent article from the Economist on February 8th (Schumpeter, 2014), is
strongly criticizing business schools worldwide for not providing enough good
managers providing two reasons. The author claims that business schools have been
captured, first of all, by the academic guild and secondly by herd mentality. Academic
stars having too little incentive to focus in teaching and produce usable research, instead
they produce oceans of papers with little genuine insight published in obscure
periodicals that no manager would ever dream of reading. Those are only some of the
accusations the author brings forward, putting a huge question mark on the role of
contemporary business teaching and research society.
Nowadays business graduates, in general, are encouraged more than ever to look for
international experiences which are highly regarded by employers, and as stated in a
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relevant article: “The kids who will be successful today are those that take themselves
out of their comfort zone and develop a global mind-set” (Kadlec, 2014). Beyond
studying abroad, employment in a foreign country is thought to build a young person’s
contacts, context, and international cultural awareness (Kadlec, 2014). Accordingly
graduates from supply chain programmes would benefit and mature professionally
proving themselves outside the “comfort-zone”. Yet the question remains whether they
are equipped with the necessary skills.
Other studies support the opposite theory, that employers are not willing spent time in
training their employees and that the skills gap therefore an artificial justification of
such attitude. In any case the problem remains.
Past research studies regarding the skills and competencies of entry-level and senior
supply chain managers did result in some prevailing frameworks, yet they have been
carried out in contexts that do not contribute in analysing the present European and
global situation in relation to supply chain management graduates. More specifically, to
the best of the author’s knowledge, there has been no thorough and systematic study
investigating exclusively employers’ demands from supply chain graduates and
therefore a timely and original study would provide valuable insight.
1.3 Purpose statement
Prior to answering the main research question ambition of the present thesis is to
proceed with a systematic and robust method that will be replicable, and transparent to
scrutinize frameworks used to research skill and competency requirements for logistics
and supply chain management. It is only after that step that we can be sure we have
employed the most applicable solution for the current research project.
The aim of this thesis is to investigate what employers actually state they want in job
advertisements. The requirements employers express are a major means by which they
indicate, in a more or less effective way, what they want from potential employees. The
thesis investigates a sub-set of the supply chain job market by analysing ads for
positions suitable for early career graduates. The nature of this topic dictates a
comparative analysis of supply chain and logistics job advertisements in addition to a
literature review that will provide the theoretical background for critical reflection on
contemporary data and analysis.
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1.4 Basic Terminology and delimitations
Before continuing, basic terms need to be defined. Gammelgaard & Larson (2001)
classify educational requirements of logisticians and supply chain managers into skills
and competencies. Skills cover general, context-independent knowledge; general tools
and rules taught in most logistics classes, which are vital for the practitioner.
Competencies refer to experience-based and context-dependent knowledge. To reach a
competence level in the logistics discipline, practitioners acquire context-dependent
knowledge through organizational experience.
Referred to as recent graduates here, we define supply chain graduates those with up to
three years of work experience from university level supply chain programs, either of
Bachelor or Master level. Job advertisements will be searched published only in
English.
1.5 Research questions
Educators and potential graduates need to understand what skills and competencies
employers actually require at any point in time and this study addresses the following
questions:
RQ1: What does the current body of knowledge (literature) suggest for the skills and
competencies of supply chain graduates?
RQ2: Which skills and competencies and employers list in current ads for supply chain
graduates in globally?
RQ3: To what extend findings from current study support or contradict conclusions
from past research?
The contribution of the present study lies primarily in fact that it addresses skills and
competencies demanded in the global workplace for supply chain graduates and will
supply relevant feedback information to an audience of three: educators, students and
employers. As there will be similarities and common ground with other studies, the
exclusive focus on jobs appropriate for recent supply chain graduates will shed light on
the mix of skills and competencies which are currently in demand, allowing a more in
depth analysis.
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2 Methodology
In this chapter we will introduce the initial decisions necessary in conducting research.
Discuss the methodological tools that will be considered and showing the range of
choices for the given study. Accordingly we will discuss the proper random sampling
techniques, with issues of access to sampling frames, message archive documentation
and the management of the medium.
2.1 Methodological Review
Four main sources will be employed for the present methodological review:
1. A selected set of journal articles that employ content analysis as a research
method and job advertisements as a research dataset.
2. An acclaimed guidebook on content analysis.
3. A recent literature review book on research methods in supply chain
management.
4. A book on business research methods
Each chosen source serves a unique and specific role in this methodology chapter. In
this way we look upon similar methodological examples, study a specialized guidebook
on the selected methodology, and position the present study relative to the body of
supply chain management and business research.
Figure 2 A hierarchical view of the methodological ingredients, own-created
The first source, the set of articles, was selected through Web of Science Core
collection. More specifically we carefully chose articles that would include in their
TOPIC the terms content AND analysis AND job AND advertisements AND (logistics OR
"supply chain"). The rationale behind this was to find some examples of similar or
identical research works in a supply chain management or logistics context, to provide a
Methodological review
Web of Science™ Core Collection: 3 methodological
examples
Krippendorf, K. "Content Analysis: an introduction to
its methodology"
Wolf, J. "The Nature of Supply Chain Management
Research"
Bryman, A.& Bell, E. "Business Research Methods"
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benchmark and a point of reference in analysing job advertisements. This yielded 3
methodological examples/articles:
1. Bourlakis, M., Sodhi, M. & Son, B., 2013. The relative emphasis on supply-
chain/logistics topics by UK industry in hiring postgraduates and by UK
universities in teaching and research. International Journal of Logistics:
Research and Applications
2. Kovács, G., Tatham, P. & Larson, P. D., 2012. What skills are needed to be a
humanitarian logistician?. Journal of Business Logistics
3. Sodhi, M. S., Son, B.-G. & Tang, C. S., 2008. ASP, The Art and Science of
Practice: What Employers Demand from Applicants for MBA-Level
Supply Chain Jobs and the Coverage of Supply Chain Topics in MBA
Courses. Interfaces
The second source, (Krippendorff, 2004), provides the history and core principles of
content analysis. It examines conceptual and methodological aspects and traces several
research paths through content analysis protocols.
Wolf (2008) selects content analysis as one of her core methods to research supply
chain management literature between 1990 and 2006. Therefore not only it is an
example of an extended study that uses content analysis in a supply chain context but it
also reviews a representative body of recent supply chain research.
2.2 Research paradigm
The term paradigm refers the school of thought that each study belongs, the cluster of
beliefs that influences the study and the basic approach and attitude of how the
researcher views reality (Bryman & Bell, 2007). In his book The Structure of Scientific
Revolutions, Thomas Kuhn (1962, p.10) first uses the term to describe “some accepted
examples of actual scientific practice – examples which include law, theory application
and instrumentation together – provide models from which spring particular coherent
traditions of scientific research.
Recently Wolf (2008) seeking to recognize the major philosophical underpinnings of
SCM research, analyzed 282 journal articles from 1990 to 2006, and identified the
dominant research paradigms. The vast majority of the articles (81%) followed a
positivist and post positivist tradition, whereas critical theory approaches accounted for
18%, and two articles (1%) investigated SCM through a participatory lens. No articles
were found to belong in the constructivist tradition (Wolf, 2008). Thus she confirms
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earlier studies in logistics and SCM which suggest that the domain is steeped in the
positivist paradigm and past research is heavily normative (theoretical models and
literature reviews) and quantitative (modelling and surveys) (Kotzab, et al., 2005).
Positivism in epistemological terms (what is regarded as acceptable knowledge)
advocates the application of the methods of the natural sciences to the study of social
reality and beyond (Bryman & Bell, 2007), the investigator and the analyzed object are
perceived to be independent entities, and thus the researcher is neither influencing nor
influenced from the object (Wolf, 2008), in a detached and neutral relationship with the
setting (Kotzab, et al., 2005). Research must be conducted in a way that is value free
(objective) and biases prevented as far as possible from influencing outcomes (Bryman
& Bell, 2007; Wolf, 2008). From an ontological perspective (the nature of social
entities) positivists assume that reality is apprehend-able through its immutable laws
and mechanisms (Wolf, 2008).
The call for more explicit statements of the research approach in logistics research
(Spens & Kovacs, 2006) finds the present study intending to follow to a large extend the
philosophical stream of positivism as the basic attitude will be to test a certain theory,
approaching the issue with objectivism. As such, the research paradigms of Sodhi, et al.,
(2008), Bourlakis, et al., (2013) and Kovács, et al., (2012), who have researched the
subject in US and UK and humanitarian contexts respectively, will be analysed to
derive relevant research techniques in combination with Krippendorff’s (2004)
guidebook . What is initially common in all three studies is the use of content analysis
as a tool for collecting and analysing data through jobs advertisements requiring
SCM/logistics skills.
2.3 The nature of SCM research and content analysis
The relationship between theory and practice in business and management research is
viewed by Bryman & Bell (2007) citing the work of Gummesson (2000), to be
represented by academic researchers and management consultants as groups of
knowledge workers who place a different emphasis on theory and practice, but with
closely related roles fundamentally.
According to Bryman & Bell (2007) content analysis is an approach to the analysis of
documents and texts, that seeks to quantify content in terms of predetermined categories
and in a systematic and replicable way. Another similar definition by Weber (1990, p.9)
is: “Content analysis is a research method that uses a set of procedures to make valid
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inferences from text. These inferences are about the sender(s) of the message, the
message itself, or the audience of the message”. As a technique it relies on a predefined
coding scheme for textual data that can then be analysed with statistical techniques and
so it is perceived to be at the intersection of qualitative and quantitative traditions, fit for
balanced approaches in research (Wolf, 2008; Kotzab, et al., 2005), therefore not
delimiting the scope of the researcher’s inquiry and his/her ability to contribute to the
body of knowledge (Kotzab, et al., 2005).
Bryman & Bell (2007) discussing content analysis as business research method identify
the advantages and the disadvantages of it. Among its advantages one will identify the
increased transparency as a research method, as the coding scheme can be clearly
described and follow-up studies are therefore feasible. The relative ease by which it
allows longitudinal studies, as the researcher can track changes in frequency over time
e.g. in job advertisements. It’s also an unobtrusive method, not entailing participants,
therefore a non-reactive method. Meaning that, the documents studied are not written in
the knowledge that a content analysis may one day be carried out on them. Therefore it
overcomes the problem which individuals tend to deny socially undesirable manners
and only admit socially desirable ones.
Characterized as the fastest-growing technique in quantitative research (Neuendorf,
2001, p.1) content analysis is not widely used by operations management researchers;
yet, “in other business disciplines [it] has been firmly established as a methodological
tool” (Montabon, et al., 2007, p. 1002). However during the last decade it has been
employed as a research technique for generating, collecting and analysing data on a
range of SCM topics:
scientific developments, the nature and quality of research (Wolf, 2008; Spens &
Kovács, 2006; Pedrosa, et al., 2012)
value-based supply chain management (Brandenburg , 2013)
sustainability (Seuring, et al., 2005)
customer service (Naoui , 2013)
skills (Sodhi, et al., 2008; Bourlakis, et al., 2013; Kovács, et al., 2012).
As with other scientific paradigms, the techniques used in content analysis are expected
to be reliable, results to be replicable, and researchers in different points in times
should get the same results, when applying the same technique to the same phenomena
(Krippendorff, 2013). In general, content analysis material tends to be more illustrative
and didactic rather that dogmatic, for there is no simple right way to do it, but
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investigators must judge what methods are most appropriate (Weber, 1990). That of
course does not cancel the existence of reliability, validity, which makes particular
demands on content analysis (Krippendorff, 2013).
Content analysis employed by researchers as a mean to study the knowledge and skill
mismatch in USA (Sodhi, et al., 2008) and UK (Bourlakis, et al., 2013) indicate that
earlier research paradigms do exist in this relatively unexplored area. The two
aforementioned studies that will influence and guide the collection of empirical
evidence in our present study have both examined the “space” between academia and
practice in SCM, using similar research methods and techniques. They both made use of
jobs advertisements as a mean that will indicate and provide knowledge for
contemporary demand, and on the other hand, the content of MBA courses to explore
the supply side. Another commonality of the two aforementioned studies is that they do
not discuss questions related to reliability and validity, thus the quality of studies in
content analytical approaches to SCM research can still be increased.
2.4 Cluster analysis
In his work on content analysis, Krippendorff (2004) suggests some analytical and
representational techniques so that inferences from text can be easily understood,
patterns can be discovered and relationships that an unaided observer would overlook
can be identified. Among the suggested multivariate techniques is factor analysis,
multidimensional scaling and cluster analysis. Yet, unlike the rest, cluster analysis is
particularly popular in content analysis because it is based on intuitively meaningful
similarities among units of analysis through a wide variety of available clustering
algorithms. (Krippendorff, 2004). Therefore cluster analysis, the choice of this study, as
a follow-up analytical technique on content analysis is among the natural analytical
choices in the relevant literature.
As a term, cluster analysis is used to describe a group of statistical procedures designed
to discover classification within complex data. (Gore, 2000). The primary goal of
cluster analysis is to partition a set of objects into two or more groups based on the
similarity of the objects. The issue of sample size in cluster analysis does not relate to
any statistical inference power (i.e. statistical power). Instead the sample size must be
large enough to provide sufficient representation of small groups within the population
and represent the underlying structure. (Hair, et al., 2010, p. 519)
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Considering the relation of cluster analysis to other multivariate procedures, one could
find it closely related to discriminant analysis due to the fact that they both concerned
with the characteristics of groups of objects. Yet the most important difference between
the two techniques is that discriminant analysis is used to identify a subset of variables
that can classify a new observation to predetermined groups, whereas cluster analysis
begins with undifferentiated groups and attempts to create clusters of objects based on
the similarity among a set of variables (Gore, 2000). in addition, it can be employed as
a data exploration tool as well as for hypothesis testing and confirmation purposes, yet
the most frequent use, as in the present study, is in the development of a typology or
classification system where one does not already exist (Gore, 2000).
Gore (2000) also provides more advice when it comes to using cluster analysis, such as:
1. Use theory to guide research questions and to identify populations and variables
of interest
2. Use theory to guide the choice of a measure of association and clustering
algorithm
3. Conduct analysis using more than one method to increase confidence in
findings
4. Cross-validation is the best way of demonstrating internal validity of a cluster
solution
5. Cluster study should be considered a first step whenever the investigator is
interested in how clusters relate to other phenomenon
6. Provide a thorough description of the procedure in a written report
2.5 Message units and sampling
Prior to deciding the message units it is an imperative demand to state the fundamental
assumption of the present research project, which primarily is the statement that the
content of job ads is a valid representation of the labour demands of employers, an
assumption that has been employed previously in identical studies (Kennan , et al.,
2009). Job ads analysis is widely used and publicly available job listings is claimed to
be a fairly representative list of what is available regarding the knowledge, skills and
competencies in demand (Kennan , et al., 2009; Molinero & Xie, 2007).
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In order to achieve our research objectives, we will follow the research paradigm of
Molinero & Xie, (2007) which is based on content analysis of textual data from job
advertisements and using multivariate data analysis. In our case the sources will be:
1. Supply Chain-logistics graduate programme job ads from all over the globe
Job ads for the demand-side analysis will be collected online from the websites
www.graduateland.com and www.linkedin.com. We will initially screen all jobs
available at the time of data collection (2nd
and 3rd
quarter of 2014) that will be under
the categories of supply chain and logistics management and remove ads for non-degree
holders.
For each ad we will introduce categorical variables for Requirements for professional
qualification. While Bourlakis, et al. (2013) choose to focus only in the UK, we will
choose to look for supply chain and logistics job ads from all over the world following
the rationale of globalisation that encourages business graduates to look for
international experiences.
The data will be analyzed in terms of occurrence of relevant words and phrases, a
technique which has been used in many skill requirements studies (Sodhi, et al., 2008;
Bourlakis, et al., 2013). The words and phrases in text will be deduced to certain
categories according to the “dictionary”. A “dictionary” is a constructed set of content
categories on the basis of a single concept (Weber, 1990), which in our case is SCM
skills. This strategy provides us with numerous categories into which most words in the
texts can be classified, and is a necessary, preparatory step (Weber, 1990). Such a
“dictionary” has been created in previous similar studies e.g. Sodhi, et al., (2008), used
also by Bourlakis, et al., (2013).. Their “dictionary” lists 13.080 words and phrases up
to six words long, placed in categories and sub-categories. For example the phrase
“demand management” belongs in the sub-category Forecasting which belongs in the
category Inventory and forecasting. Then the frequency of appearance of a set of skill
(and related keywords and phrases) will indicate the relative demand for these skills
(Bourlakis, et al., 2013). Yet, in an email discussion with the above authors, the advice
was to create a new ad-hoc dictionary that would fit the purpose of the study, and so it
was done.
In content analysis a unit is an identifiable message or message component which:
a) Serves as the basis for identifying the population and drawing a sample
b) On which variables are measured
c) Serves as the basis for reporting analyses.
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Units can be words, characters, themes, time periods, interactions, or any other result of
“breaking up a communication into bits” (Neuendorf, 2001, p.71). In the present study
each job ad will be the research unit. Sampling as a process of selecting a subset of units
for study from a larger population will have to be defined for the job ads source. As
such the websites www.gratuateland.com and www.linkedin.com will be used to search
for SCM graduate programmes and graduate positions globally.
2.6 Ethical considerations
As part of a business research project it is required to take under consideration a set of
ethical principles suggested by relevant literature. According to Bryman & Bell (2007)
such principles are revolved around four main areas:
Harm to participants
Lack of informed consent
Invasion of privacy
Deception
Harm to participants refers to actual or potential physical harm; participants’
development or self-esteem; stress; harm to career prospects or future employment and
is regarded as unacceptable. Suggested ways to prevent are maintaining confidentiality
of records and anonymity of accounts.
Lack of informed consent refers to whether observed participants actually want to
participate in a research project, and be informed about the research process.
Due to the nature of the present study, analyzing public web content, there was low
potential breach of the above mentioned ethical principles. The anonymity of the
companies participating in the job ad population was considered, and therefore the
companies whose job advertisements were analysed, are not mentioned. Lack of
informed consent in job advertisement analysis is indeed an issue and participating
companies can be informed that their public content will be analyzed. The current study
does not take under consideration the abovementioned principle, due to the small-scale
nature of the project.
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2.7 Reliability and validity
Cronbach's alpha, is widely used for an entirely different purpose and is unsuitable for
evaluating reliability in content analysis (Krippendorff, 2004, p. 222). Therefore this
study will employ Krippendorff’s alpha, a coefficient designed to assess reliability in
content analysis.
In its most general form, Krippendorff’s alpha is defined by:
Where is a measure of the observed disagreement and is a measure of the
disagreement that can be expected when chance prevails. α = 1 indicates perfect
reliability, α = 0, indicates the absence of reliability and negative values with maximum
being α = -1 shows systematic disagreement (Krippendorff, 2004). Krippendorf’ s
(2004) suggestions are to:
rely only on variables with reliabilities above
consider variables with reliabilities between and only for
drawing tentative conclusions
The present study has the conceivably simplest reliability data which are generated by
two observers who assign one of two available values (0/1) to each of a common set of
units of analysis. We will use a macro in SPSS (Hayes & Krippendorff, 2007).
Validity provides convincing reasons for taking the results of scientific research
seriously (Krippendorff, 2004). In content analysis, validity implies that inferences
drawn from text fulfil speak as truthfully as possible to as many as possible, and
distinguishes validity in three categories:
face validity: being obviously true, sensible, plausible
social validity: addressing important social issues, contributing to public debates
empirical validity, the degree to which available evidence and established theory
supports intermediate stages of research process and its results
Face validity is “obvious” and “common truth”. Does it make sense? Does it make
sense, indeed to measure an issue by the relative frequency with which the issue is
mentioned in certain type of media (Krippendorff, 2004)? In the present study face
validity is reflected on the question: does it make sense to measure the skills that are
being mentioned in job advertisements as a reflection of the employers’ requirements?
18
The answer to that lies primarily and exclusively on the fact that there is a plethora of
available past and identical studies that measure the frequency that certain words appear
in job advertisements as reflection of the required job skills.
Social validity is that quality of research findings that leads up to accept them on
account of their contribution to the public discussion of social concerns (Krippendorff,
2004). In our current study is reflected on its contribution to the public debate of
whether supply chain graduates should be more focused on being managers or
logisticians.
Empirical validity is the degree to which available evidence and established theory
support various stages of research process, the degree to which specific inferences
withstand the challenges of additional data, of the findings of other research efforts, of
evidence
3 Theory The theoretical chapter presents theories relevant to the research questions, used to
analyze the empirical data. The chapter begins by describing how academic articles
around skills and competencies in supply chain management were selected and
continues with a review of the selected theory
3.1 Introduction
Rigorous research can only be conducted in relation to existing knowledge so that we
don’t “reinvent the wheel”; therefore a literature review is an essential part of the
research process to ensure that. The activity of reviewing the relevant literature satisfies
two specific functions. As a starting point, it helps to generate new ideas and also
summarizes existing research through the identification of patterns and themes.
Secondly, it justifies the notion of contribution to research, since it is enfolded against
existing theories. (Seuring, et al., 2005, p.92)
“A research literature review is a systematic, explicit and reproducible design for
identifying, evaluating, and interpreting the existing body of recorded documents”
(Fink, 2010, p.3). It is focusing on high-quality original research to ensure that the
results of the review will be under the researcher’s supervision and accurate (Fink,
2010). Contrasting to subjective examinations of recorded information, such a review,
after examining the sources, describes and justifies what is done, so that someone else
can reproduce it and determine objectively whether to accept the results of it. Subjective
19
reviews tend to choose sources without justifying why they are selected, giving equal
credit to good or poor studies. Results are often based on partial examination of the
available literature and findings may be inaccurate or even false. (Fink, 2010, p.16)
3.2 Aim, Delimitations and Basic Terminology
The aim of this literature review is to outline the existing knowledge on what are the
appropriate skills and competencies of a supply chain and logistics practitioner. We
researched in Web of Science™ Core Collection only for journal articles, excluding
proceedings papers, which include in their title the words:
1. “supply” AND “chain” AND “skills”
2. “supply” AND “chain” AND “competencies”
3. “logistics” AND “skills”
4. “logistics” AND “competencies”
resulting in 18 unique articles in Grade Four, Three and Two journals, according to the
ABS Journal guide 2010. The results were further refined by excluding articles that
their abstract did not indicate relevancy with the research, limited down to 9.
No. Journal Article title Year
1 International Journal of Operations & Production Management
Supply chain professionals A study of competencies, use of technologies, and future challenges
2013
2 Supply Chain Management - an International Journal
Priorities and determinants for supply chain management skills development in manufacturing firms
2013
3 Supply Chain Management - an International Journal
Developing competencies of supply chain professionals in Australia: collaboration between businesses, universities and industry associations
2013
4 International Journal of Production Economics
The effect of individual, network, and collaborative competencies on the supply chain management system
2012
5 International Journal of Logistics-Research and Applications
Competency requirements for professionals in logistics and supply chain management
2012
6 Supply Chain Management - an International Journal
Mastery of operational competencies in the context of supply chain management
2009
7 Supply Chain Management-an International Journal
Skill requirements for logistics license in Taiwan 2006
8 Industrial Marketing Management
Purchasing/supply chain management flexibility: Moving to an entrepreneurial skill set
2005
9 Journal of World Business Effect of export financing resources and supply-chain skills on export competitive advantages: Implications for superior export performance
2001
As a next step and to ensure that the research is not failing to cite influential papers, the
set of eleven articles was analysed to identify certain citation patterns with
CitNetExplorer. More specifically we were interested in the cited references of each of
the nine articles, to identify secondary sources that would be mentioned more than twice
20
(≥3). The rationale is that in a small set of articles, a work that is cited in more than two
indicates an influential paper.
The total cited publications in the initial 9-article set were 420, yet 23 of them were
mentioned in at least two of the initial 9-article set, showed more analytically in the
table below:
No. of journal articles Cited times Level of potential influence
2 4 High
4 3 Medium
17 2 Low
As stated above primary focus will be in the first two categories work of High and
Medium potential influence.
No. Journal Article/book title Year Cited
1 Journal of Business Logistics
Logistics skills and competencies for supply chain management
2001 4
2 Supply Chain Management - an International Journal
Skill requirements of senior-level logisticians: a longitudinal assessment
2007 4
3 Non applicable Psychometric Theory - book 1978 3 4 Non applicable Multivariate Data Analysis - book 1998 3 5 Journal of Physical
Distribution & Logistics Management
Skill requirements of senior-level logisticians: practitioner perspectives
1998 3
6 International Journal of Physical Distribution & Logistics Management
Skill requirements: perception of the senior Asian logisticians 2001 3
Indeed several highly relevant works were revealed to have been missed from the initial
search. Works no. 1, 2, 5, and 6 will be used in the following literature review whereas
the rest were excluded as not relevant to the present study. Works no. 3 and 4 simply
indicate the influence of psychometric theory and the use of multivariate analysis in the
research field. Works cited four times, with high level of potential influence where
100% relevant to the present study whereas 50% of the studies with medium level of
potential influence, were found to be useful.
The following discussion is limited to 13 peer-reviewed journal articles, published in
English from 1998 to 2013. The primary use of such a review is to describe how much
is known about the body of research and to support the need for and significance of new
research.
21
Figure 3, Citation map of the 13 identified articles, own-created
Figure 4 Flow chart of the literature search process, own created
3.3 Literature description
The distribution of the publication in the researched period (1998-2013) is displayed in
Figure 4. Even though the number of studied papers is rather small (N=13) the
distribution illustrates a low and sporadic interest on the subject. Gammelgaard &
Larson (2001) used surveys and case studies as complementary methods and so the
paper was measured as half-case study and half-survey.
Web of Science™ Core Collection common and influential studies
18 articles screened 6 studies screened
9 excluded: non relevant 2 excluded: non relevant
13 articles included in literature review
22
Figure 5 Allocation of the articles across the analyzed period, own created
Figure 6 Research methodologies applied in the papers, own created
3.4 Results synthesis
This compact body of knowledge, will allow us to have a brief introduction to recent
theories around the skills and competencies of supply chain professionals and
logisticians. The skills and competencies that a supply chain graduate or professional
should possess is an ongoing discussion that has been multiply addressed from various
researchers in the past (Murphy & Poist, 2007).
0
1
2
3
4
Nu
mb
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of
pap
ers
(N
=13
)
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1
2
3
4
5
6
7
8
9
10
11
12
case study model survey concept mapping
Nu
mb
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(N
=13
)
23
Razzaque and Sirat (2001) investigating the perception of senior Asian logisticians, find
that what is more important to that geographical context and hierarchical level, is to be a
multi-skilled generalist rather than a technically-oriented specialist. They (Razzaque &
Sirat, 2001) make the use of the influential BLM (business logistics management)
research framework developed by Poist in 1984, which classifies the skills a logistician
professional should possess into three categories. Business knowledge and skills are
defined as related to business directly (e.g. marketing, accounting) and indirectly
(psychology, public relations) (Razzaque & Sirat, 2001). Logistics knowledge and skills
refers to functional knowledge such as transportation, warehousing, or forecasting
whereas management knowledge and skills describe personal attributes such as
supervision, time management, enthusiasm, self-confidence and even personal
grooming habits (Razzaque & Sirat, 2001).
A factor analysis helped the authors to reduce the skills and competencies to fewer
structures. As such, the factor with the highest mean value was managerial ability and
includes the abilities to adapt to change, organize, listen, manage time, supervise and
do managerial control (Razzaque & Sirat, 2001). Secondly strategic ability consists of
the ability to plan, delegate responsibility, view firm as a system and self-confidence.
While the two highest ranked factors belong to the managerial category, the third one,
storage/warehousing, is of a logistics nature and includes inventory control,
warehousing, materials handling, and packaging. The fourth most important factor for
senior Asian logisticians was personal qualities, which according to their factor
analysis includes the sub-skills of: personal integrity, self motivation, enthusiasm,
personal grooming habits, and personal dress habits. The fifth factor in their study is
from the business category, called operations skill consisting of the skills: transport
and logistics, procurement, production, and marketing (Razzaque & Sirat, 2001).
On the same year, Gammelgaard & Larson (2001) develop their own extensive research
framework with 45 skills and by arguing that logisticians are called to develop new
skills, they proceed to their skills and competencies research. Investigating mid-level
managers they employ a factor analysis to collapse the 45 skill areas into a smaller set.
The three factors constructed are:
1. Interpersonal/managerial basic skills
2. Quantitative/technological skills
3. SCM core skills
24
Interpersonal/managerial basic skills include: ambition, critical thinking, decision-
making, ethical awareness, listening, motivation, organizing, presentation skills,
prioritizing, problem solving, self-directed learning, self-discipline, speaking, oral
communication, time management, training, writing/written communication.
Quantitative/technological skills include: database ability, IT systems development,
computer programming, quantitative methods, software knowledge, spreadsheet
abilities, statistical analysis, knowledge of latest technology, knowledge of newest
techniques.
SCM core skills include: ability to see the ”BIG picture”, change management,
confidence, conflict management, cross-cultural awareness, foreign language,
knowledge of the industry, leadership, negotiation, organizational culture awareness,
project management, selling, supply chain awareness, and teamwork.
Interestingly, six skills failed to load on oany of the above three factors: ability to
perform under pressure, creativity, facilitation (of meetings), flexibility, multi-cultural
awareness, and scheduling (Gammelgaard & Larson, 2001). Further on the authors
identify the top five ranked skills: teamwork, problem solving, supply chain awareness,
ability to see the “BIG picture”, and listening, which belong either to
Intepersonal/managerial or SCM core skills. Once again prioritizing the managerial
aspect of supply chain’s role against the technical/specialty one.
Murphy & Poist (2007), in a longitudinal study of senior-level logisticians with their
BLM framework, find that Management skills are still more important than the
Logistics and thirdly Business skills, which reinforce and update their findings from a
1991 (Murphy & Poist) study. They argue as well that their findings suggest that 2007
logisticians have a more supply chain orientation than in 1991. The five highest ranked
management skills are motivate others, personal integrity, decision making ability,
ability to persuade, oral communication (Murphy & Poist, 2007).
In an Australian context, investigating mainly mid-level managers Prajogo & Sohal
(2013) identify communication and teamwork as the most important competencies for
successful supply chain integration. They describe communication and teamwork as the
ability to work effectively with individuals and groups/teams – cross-culturally, intra
and inter organisationally, to manage relationships in diverse contexts and
communicate effectively through different media and styles (Prajogo & Sohal, 2013, p.
25
1541). Other skills that were included in their framework were: technology skills,
initiative and enterprise skills, and compliance and legal knowledge. Yet, Prajogo &
Sohal (2013) conclude that a supply chain professional should possess a diverse set of
competencies and skills, of both technical and inter-personal nature, important for the
successful integration of different business processes along the supply chain.
Lorentz, et al., (2013) design their research around manufacturing firms and their
respective SCM skill development priorities. What they find is that skills that enable the
connection of customers and suppliers to the company’s processes are relatively a more
important development priority. As such their top five consists of:
1. Demand forecasting and supply planning
2. Sourcing and supplier management
3. Customer and distribution channel management
4. Production planning and control
5. Information systems for logistics and production planning
Thai (2012), investigating supply chain professionals define them as well trained,
skilled that mainly performs managerial or administrative work, whose main capital is
knowledge. He/She is developing a career and does not have an occasional relationship
with the domain, but may be of entry level or experienced. His study confirms previous
studies in a Singaporean context that logistics managers are managers first and
logisticians later.
26
The overview table below presents the top skills in each of the study in the selected
literature, own-created
Article titles / author Five highest ranked skills and competencies
Skill requirements: perception of the senior Asian logisticians,
Razzaque & Sirat (2001)
1. Managerial ability
2. Strategic ability
3. Storage and warehousing
4. Personal qualities
5. Operational skills
Logistics skills and competencies for supply chain
management, Gammelgaard & Larson (2001)
1. Teamwork
2. Problem solving
3. Supply chain awareness
4. Ability to see the “BIG picture”
5. Listening
Skill requirements of senior-level logisticians: practinioner
perspectives, Murphy & Poist (1998)
1. Personal integrity
2. Ability to motivate
3. Ability to organise
4. Ability to plan
5. Customer Service
Skill requirements of senior-level logisticians: a longitudinal
assessment, Murphy & Poist (2007)
1. Motivate others
2. Personal integrity
3. Decision making ability
4. Ability to persuade
5. Oral communication
Supply Chain professionals: a study of competencies, use of
technologies, and future challenges, Prajogo & Sohal (2012)
And
Developing competencies of supply chain professionals in
Australia: collaboration between businesses, universities and
industry associations, Sohal (2013)
1. Ability to work effectively with individuals and
groups/teams – cross-culturally, intra and inter
organisationally
2. Ability to manage relationships in diverse contexts –
cross-culturally, intra and inter organisationally
3. Ability to manage risks in supply chain and their
associated issues
4. Ability to make use of numerical techniques for decision
making (e.g. forecasting and scheduling)
5. Project Management skills and ability to lead major
projects
Priorities and determinants for supply chain management skills
development in manufacturing firms, Lorentz, et al. (2013)
1. Demand forecasting and supply planning
2. Sourcing and supplier management
3. Customer and distribution channel management
4. Production planning and control
5. Information systems for logistics and production planning
Competency requirements for professionals in logistics and
supply chain management, Thai (2012)
1. Personal Integrity
2. Managing client relationships
3. Problem-solving ability
4. Cost control
5. Ability to plan
Purchasing/supply chain management flexibility: moving to an
entrepreneurial skill set, Giunipero, et al., (2005)
1. Planning
2. Influence and persuasion
3. Internal motivation
4. Creativity
5. Risk management
27
4 Empirical Data
In this chapter the results from the collected job advertisements are presented. A
descriptive section shows how the data was collected and transformed from text to
quantitative binary data
The data set consists of all the relevant job advertisements published in
www.graduateland.com between 12th
February 2014 and 12th
April 2014, and
additional ads from www.linkedin.com during June, July and August 2014. Even
though previous studies (Sodhi, et al., 2008) have used www.monster.com a pilot
search revealed mainly re-published ads from human resource agencies, which include
limited information, and therefore was not used further on. The strategy for approaching
the data collection was to collect ads that are the product of a clear human resource
strategic plan on behalf of the employers. Job ads that revealed the criteria for inclusion
in graduateland and linkedin in the data set were:
1. Job type: Graduate programmes
2. Job position: Supply Chain & logistics
In the first wave of job advertisement collecting, information was collected from 40
advertisements in www.graduateland.com , but some appeared more than once and
therefore duplications were excluded from the data set. This reduced the total number to
23. An additional search for supply chain graduate programmes and positions was
employed to increase the small population through www.linkedin.com, which resulted
in 40 additional ads. Therefore the final total population of ads was increased to 63 and
resulted in a satisfying population for further analysis which were all checked
binomially (0/1) on 36 skills and competencies identified from relevant literature.
A job advertisement consists of a variety of information, and one may argue that
information on the skills and competencies required may be sporadically placed in a job
advertisement. But we had to choose a way in which analysis can be conducted in a
systematic way, as much as possible. Therefore the information to be coded was
selected only from the section with the following titles: Who we are looking for,
Requirements, prerequisites, Knowledge and experience required, Qualifications, What
we need, Skills and Experience, What does it take?, We expect you to have, What do I
need to qualify for this job?, Your profile, Your background and skills, Competence
needed.
28
Every job advertisement, beyond the scattered secondary information on skills and
competencies required, did include a distinct section which identified clearly the
candidate’s qualifications. This section varied in its title, as seen above; nevertheless it
provided the exclusive source of information per advertisement.
Figure 7, snapshot from MAXQDA®, showing the document browser, the code system and the document system,
own-created
Advice from previous researchers was taken under consideration. In short, previous
researchers did provide the dictionary by which words and phrases from supply chain
job advertisements were linked into skills but in an email conversation Dr. Son, Byung-
Gak, Senior Lecturer in Supply Chain Management at Cass Business School, advised
“If you want to go ahead with sw (software) content analysis, you might need to build
your own dictionary based on the ads you have. Otherwise you’d miss out some.”
Therefore the provided dictionary served the consulting role of an expert.
The first step was to quantify the skills found in the job advertisements. Each
advertisement’s qualifications’ section was imported in MAXQDA® (Figure 7), a
software programme for systematizing, organizing, and analyzing qualitative data. It is
used by universities all over the world (MAXQDAa, 2014), and has been employed in
numerous academic publications (MAXQDAb, 2014). Data entry in MAXQDA®
allowed an easier extraction of raw quantitative data for further analysis in SPSS®.
The reliability of coding was a further area of concern, thus inter-coder reliability was
tested on one advertisement. Another post graduate student was employed as a second
coder. He randomly picked an advertisement and independently re-coded it based on the
“Coding-manual” document (Appendix B) that was provided after a short-training
29
session. Accordingly data was entered in SPSS and Krippendorff’s alpha was
calculated. A Krippendorff’s alpha= 0.8731 indicated a satisfying inter-coder validity.
Figure 8, Output for Krippendorff's alpha (Hayes & Krippendorff, 2007) from SPSS, own created
The difficulty of coding skills and competencies varied. Skills such as teamwork,
problem solving ability, flexibility, high average grade, two or more languages, and
leadership were rather easy to identify, yet others such as “Responsible, mature and
professional” needed more time to be identified. As in previous studies (Molinero &
Xie, 2007) data was coded in zero/one variables providing
binary/binomial/dichotomous data. The table below provides an equivalent to the
“dictionary” used in similar content analysis studies. Any phrase from the
“phrases/words” column indicated the requirement for a skill in the “Skills” column;
phrases found more than one was marked only once.
Table 1 Dictionary used for the conversion of words to skills, indicative sample for the top 10 skills, own-created
Skills Phrases/ Words
Teamwork team player
ability to work in a team
ability to build and maintain strong relationships in a cross-
functional environment
work well as part of a team
thrive on delivering excellent performance to your team
work in teams
team working spirit
ability to work well with others as a team
30
Problem solving
ability
pragmatic
analytical skills
problem-solving
affinity with numbers
strong analytical approach
Flexible flexible
flexible and mobile
high learning agility
flexibility
ability to adapt to change
High average
grade
with a grade average of 70%
good scholastic record
GPA 80% or better
excellent track record and good academic background
above average university degree
bachelor with great results
graduated with a minimum 2:2 degree
minimum 2:1 degree
strong academic track record
minimum achieved grade of 2:2
Two or more
languages
good command in both English & Mandarin
fluency in English (additional/local languages a plus)
English language is a must, German or French would be an
advantage
Bi-lingual in Dutch (native speaker) and English. French is
also an advantage
fluency in English (spoken and written) and good German
knowledge
command of one of the Nordic languages and English
excellent command of English, additional languages
advantageous
English and at least one Nordic language
English spoken & written for contact with suppliers + french
31
Understanding
logistics
terminology
major in Logistics or related is preferred
a bachelors or advanced qualification in supply chain, or a
supply related field
bachelor’s degree in Logistics, Supply Chain
business degree in Logistics, Supply Chain or similar
bachelor within economic, maritime, logistic or commercial
areas
Procurement, Supply Chain or Business related degree
experience about supply chain
master's degree in supply chain management
degree qualified in a relevant discipline, e.g. Logistics,
Supply Chain Management, Procurement, Operations and
Supply Chain Management
Responsible,
mature and
professional
Strong sense of responsibility
Mature, professional personality
attention to detail with discipline to follow through on
assigned tasks
willingness and capability to take handle difficult situations,
with a strong sense of responsibility
structured and methodical approach to work and follow
things through
independent and responsible
readiness to take on responsibilities and work independently
detail oriented
high degree of ownership
Leadership leadership
leaders in their profession
potentially want to become the future leader of our business
Enthusiasm ambitious individual with a passion and drive to excel
high degree of initiative, energy
willing to learn and continue to challenge oneself
high level of energy
have the drive to learn and succeed
32
eager to learn and roll up your sleeves
challenge your talent in order to become one of our future
high potentials
General
business
administration
Post graduate qualification in business
Degree should be Business, Marketing, Management,
Commerce
Master’s Degree within Economics or a relevant field of
study is preferred
Business related degree
In a business subject
Ability to plan
and organise
strong capabilities to prioritise, optimise and perform under
limited resources and tight deadlines
project management skills
Ability to think and plan in a proactive manner
Organized and reactive
proactive
List of skills and competencies
1. Ability to plan and organise
2. Adapting to organisational change
3. Ambitious
4. Analysing statistical data
5. Creativity - Outside the box thinker
6. Customer service
7. Effective verbal communication
8. Effective written communication
9. English
10. Enthusiasm
11. Expertise in interpersonal relations
12. Flexible
13. General business administration
14. High average grade
15. Identifying opportunities and threats
33
16. Impact of globalisation
17. Information system management
18. Knowledge of operations
19. Leadership
20. Local citizenship
21. Long-term commitment
22. Perform under pressure
23. Personal integrity
24. Problem-solving ability
25. Product demand forecasting
26. Production planning
27. Public Relations
28. Purchasing
29. Responsible, mature and professional
30. Self-motivation
31. Strategic management
32. Teamwork
33. Two or more languages
34. Understanding logistics terminology
35. Use of logistics specialised softwares
36. Work experience (max 3 years)
34
5 Analysis
This chapter provides the analysis of the empirical data. After being quantified, a
descriptive part of the data is presented. A paretto chart, a dendrogram and a bar-chart
are the main visualization tools used.
The data collected were kept in the form of a table of variables by job advertisements
and cases by skills and competencies and it will be analysed by means of multivariate
analysis tools, in particular hierarchical cluster analysis. The objective of the analysis is
to see the way in which skills and competencies are related and explore if they tend to
appear in combinations. A “tree diagram” or dendrogram indicates the sequence in
which points are merged. Each time a merger takes place a branch is created indicating
how far apart the points merged were. When the branches are short, the points have
much in common. When the branches are long, the points have little in common. What
is meant by “large” is a matter of judgement (Molinero & Xie, 2007). The dendrogram
can be seen in Figure 7. We used Ward’s agglomeration approach which attempts to
maximize similarity between clusters while maximizing dissimilarity between clusters,
and tends to produce reasonable results (Molinero & Xie, 2007).
Figure 9 Choropleth map of the job ads collected, viewed by countries, own created
Additional information regarding the initial location of each job was also collected.
Using SPSS®, a choropleth map visualizes the countries and the count of the collected
ads. Most jobs for supply chain graduates are located in Europe and secondarily China
35
and United States.
Figure 10 Bar-count of the job ads collected, viewed by country, own created
Job ads in countries that are not visible due to their geographical size is Denmark (9
ads), Singapore (3 ads) and Taiwan (1 ad). It does provide an overall view of the regions
that provide opportunities for international supply chain graduates, in an English-based
context. The search for job ads was conducted using English key words; therefore an
improved research project could possibly be conducted in several languages.
Figure 11 Bar-chart with all the skills and competencies observed and cumulative ratio, own created
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0
5
10
15
20
25
30
35
36
The skills that have been observed in the level of 80% of the total observations from left
to right stop at the skill Self-motivation, including it. Interestingly two requirements that
are identified in this thesis are flexibility and being a responsible, mature and
professional person. Employer’s ads, besides previously known skills, require from
graduates to be flexible, both in terms of mobility and as a general personal
characteristic and professional, in terms of acting independently, being confident, . In
terms of educational background, both engineering degrees and business/management
degrees were requested, which again indicates the dyadic nature of the supply chain
domain.
Figure 12 Dendrogram from SPSS cluster analysis showing two distinct clusters, own created
37
The dendrogram reveals two main clusters, yet the two of them are closely related. The
first cluster (green) consists of the skills: 7, 8, 11, 29, 1, 24, 9, 36, 12, 16, 13, 33, 10,
30, 14, 19, 34 and 32. The second cluster (yellow) includes skills: 25, 26, 18, 21, 2, 28,
20, 15, 31, 3, 27, 23, 5, 6, 35, 22, 4, 17. Now “cluster analysis, along with factor
analysis, is much an art as a science” (Hair, et al., 2010, p.518) and in order to make a
meaningful interpretation of the clusters we also looked at the descriptive statistics. We
observed ( Figure 14) that the “green” cluster colour includes skills and competencies
towards the high frequency skills, whereas the “yellow” cluster tends to include skills
and competencies with medium and low ranged frequency skills.
The clusters are as follows: Table 2 Skill clusters, own created
green cluster Teamwork, Understanding_logistics_terminology,
Problemsolving_ability, Two_or_more_languages,
Ability_to_plan_and_organise, Flexible,
Responsible_mature_professional, Leadership, English,
Impact_of_globalisation, Expertise_in_interpersonal_relations
High_average_grade, Self-motivation,
Work_experience_(max_3_years), Effective_verbal_communication,
Effective_written_communication,
yellow cluster Perform_under_pressure, Identifying_opportunities_and_threats,
Local_citizenship, Strategic_management,
Use_of_logistics_specialised_softwares,
adapting_to_organisational_change, Analysing_statistical_data,
Customer_service, Knowledge_of_operations, Long-
term_commitment, Personal_integrity, Product_demand_forecasting,
Production_planning, Purchasing, Information_sustem_management,
38
Figure 13 the core and layer classification of employers’ expectations, own created
On those grounds, it may be argued that a meaningful interpretation of the green cluster
is to be seen as a representation of the core, very important skills and competencies
employers require from supply chain graduates (Figure13). A candidate that
demonstrates teamwork abilities, understands logistics terminology, has analytical and
problem solving abilities, speaks two or more languages, can plan, organize and
prioritize his tasks, is flexible and mobile, and shows independence and professionalism
is the golden candidate.
Furthermore he/she will show high potential performance, as reflected in his/her high
average academic grade, leadership skills, has international experience or has worked
with other cultures, is a self-motivated and quick learner, is an expert in interpersonal
relations, negotiator, as described in an ad “he can influence without formal authority”,
and has some relevant work experience.
Specialized logistics and supply chain competencies were found to be sporadically
requested, such as knowledge of ERP systems, production planning, or product demand
forecasting.
core: very important skills and competencies
2nd layer: less important skills and competencies
39
Figure 14 Skill frequency coloured in clusters and cumulative ratio, own-created
The additional cluster analysis, in an attempt to classify job ads, did reveal two clear
clusters yet it made limited meaningful classifications associated to what the employers
need from supply chain graduates. As past studies have revealed clustered skills for
operations research candidates (Molinero & Xie, 2007), such results were not revealed
in the present study. In the way that Gammelgaard & Larson (2001) refer to skills and
competencies, results indicate that employers’ requirements are more based on
graduates’ skills and less on competencies. In similar studies conclusions have been
reached through surveys yet looking through the above 63 job advertisements,
teamwork has also been identified as the top skill in Gammelgaard & Larson (2001)
followed by problem solving ability, which is also the main outcome of the present
study.
To sum up, a clear direction of the job requirements towards managerial and personal
attributes for supply chain graduates rather than logistics is also apparent, supporting the
“statesman” view of transportation managers from the 1960’s. Yet the present study
0
5
10
15
20
25
30
35
40
supports profiles the contemporary supply chain graduate and supports findings from
past research in two ways:
Possessing managerial skills are a good starting point for a career in supply chain
management
“All-round player” is a term that briefly describes the employers’ expectations from
supply chain graduates
Figure 15 The present study, through the study of job ads, supports results and updates knowledge from past studies
in the field of SCM skills
6 Conclusions
This chapter provides the main results and conclusions. Lastly, practical contributions,
limitations and future research suggestions are presented.
The present study looked into job advertisements for supply chain graduates as a source
of information on required skills that employers demand. It made use of two specific
scientific tools, taught in the present MSc programme, to analyse the collected data:
content analysis and cluster analysis. Both of which were part of quantitative research
methods. In general, the study confirms and updates findings from past researches but
approached from a different methodological angle as way to triangulate past results.
Thus the findings from Murphy & Poist (2006), that entry-level logistics personnel,
such as graduates are expected to be “well-rounded” with a strong emphasis on
personal characteristics are viewed to be confirmed. What is quite apparent is the cross-
functional, networking and problem-solving attitude of the modern supply chain
supply chain skills &
competencies
Job ads
interviews surveys
41
graduate. He/she has to be ready to “roll up his sleeves” within a team, and is not an
isolated, shiny, cutting diamond or a bright lone star. Even though he is expected to
demonstrate leadership potential he will have to act in a constellation of players. The
employing cliché “hire for attitude and train for skills” also appears to be valid. What
are requested in most job advertisements for graduates are not specific technical skills
and competencies but behavioural, attitude and indicators of potential performance
(high average grade).
The findings of this thesis have potential implications for various stakeholders including
student/graduates, employers and educators. For students and graduates, the results
provide a view of how employers will look on them, what attributes they will be
expected to demonstrate other than a good academic record and an educational
background in supply chain or logistics management. Expectations on team work,
problem solving abilities and flexibility are aspects that are perceived as very important
in the job market; along with being someone others can rely on, being mature and
professional with leadership potentials, as viewed in the core cluster.
For employers it provides a benchmark comparison of what the broader job market
requires from supply chain graduates. Employers that expect their new supply chain
employees to possess significant technical competencies should reconsider their human
resource strategy, as the overall picture of the market shows that the prevailing approach
is to “hire for attitude and train for skills.”
For supply chain professional educators it may serve as a contemporary indicator, a
“compass” on planning, designing or re-directing curricula. E.g. programmes with too
much focus on individual assignments may have to re-design some aspects of their
programme since team-work is so highly required from employers.
Finally, the findings of this study are subject to a number of limitations. A main
limitation of this study is the relatively small sample size. Another limitation is the
exclusive use of job advertisements written in English. The study is also limited to jobs
suitable for recent supply chain graduates justified on the grounds that supply chain
management is a large field and focusing the investigation on a part of it is likely to
produce more useful results than a study attempting to analyse all levels of positions.
Yet no study could hope to identify all available jobs at any point in time as jobs are
advertised in a wide range of sources.
42
In terms of data analysis, a limited number of statistical operations can be applied to
processing textual data and whether binominal classifications can be objectively
extracted from textual information is an ongoing debate in content analysis. Therefore
the author might be blamed for a degree of subjectivity in the attempt to generate
binominal scales from the abovementioned textual data.
The above limitations are not considered to bias, yet the study would benefit from a
larger population, including non-English context. Finally, while this study represents an
attempt to highlight some of the skills and competencies contemporary supply graduates
are called to possess, it is quite logical that it cannot be adequate in providing a holistic
picture. Future research may benefit from providing a longitudinal study, examine and
reveal the change over time of the employers’ expectations, and raise awareness on
emerging skills. Such a monitoring will provide useful insight and enable proactive
attitude from the abovementioned stakeholders.
43
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I
Appendices
Appendix A – The job advertisements
1.
2.
3.
4.
II
5.
6.
7.
8.
III
9.
10.
11.
12.
13.
14.
IV
15.
16.
17.
18.
19.
V
20.
21.
22.
23.
24.
VI
25.
26.
27.
28.
29.
VII
30.
31.
32.
33.
34.
VIII
35.
36.
37.
38.
39.
IX
40.
41.
42.
43.
X
44.
45.
46.
XI
47.
48.
49.
XII
50.
51.
52.
53.
54.
XIII
55.
56.
57.
58.
XIV
59.
60.
Appendix B – The coding manual
The 36 skills-framework provided below is the scan-guide for each advertisement.
Skills should be identified only in that job ad section where it is most clearly stated by
the section-title that the competencies and requirements for the job are about to be
described. E.g. “candidate requirements”, “competence needed”, “qualifications”,
“your profile”, “what we look for”, “knowledge and experience required”, “what we
need”,
A skill may be identified or indicated by only one word or a whole phrase
A certain skill can be identified only once in each job advertisement
If more languages than English are stated or required, then mark both, two or more
languages and English as an identified skill. If only English is stated as a requirement,
then just mark English as a required skill.
Skills Phrases/ Words
Teamwork team player
ability to work in a team
ability to build and maintain strong relationships in a cross-
functional environment
work well as part of a team
thrive on delivering excellent performance to your team
XV
work in teams
team working spirit
ability to work well with others as a team
Problem solving
ability
pragmatic
analytical skills
problem-solving
affinity with numbers
strong analytical approach
Flexible flexible
flexible and mobile
high learning agility
flexibility
ability to adapt to change
High average
grade
with a grade average of 70%
good scholastic record
GPA 80% or better
excellent track record and good academic background
above average university degree
bachelor with great results
graduated with a minimum 2:2 degree
minimum 2:1 degree
strong academic track record
minimum achieved grade of 2:2
Two or more
languages
good command in both English & Mandarin
fluency in English (additional/local languages a plus)
English language is a must, German or French would be an
advantage
Bi-lingual in Dutch (native speaker) and English. French is
also an advantage
fluency in English (spoken and written) and good German
knowledge
command of one of the Nordic languages and English
excellent command of English, additional languages
XVI
advantageous
English and at least one Nordic language
English spoken & written for contact with suppliers + french
Understanding
logistics
terminology
major in Logistics or related is preferred
a bachelors or advanced qualification in supply chain, or a
supply related field
bachelor’s degree in Logistics, Supply Chain
business degree in Logistics, Supply Chain or similar
bachelor within economic, maritime, logistic or commercial
areas
Procurement, Supply Chain or Business related degree
experience about supply chain
master's degree in supply chain management
degree qualified in a relevant discipline, e.g. Logistics,
Supply Chain Management, Procurement, Operations and
Supply Chain Management
Responsible,
mature and
professional
Strong sense of responsibility
Mature, professional personality
attention to detail with discipline to follow through on
assigned tasks
willingness and capability to take handle difficult situations,
with a strong sense of responsibility
structured and methodical approach to work and follow
things through
independent and responsible
readiness to take on responsibilities and work independently
detail oriented
high degree of ownership
Leadership leadership
leaders in their profession
potentially want to become the future leader of our business
Enthusiasm ambitious individual with a passion and drive to excel
high degree of initiative, energy
XVII
willing to learn and continue to challenge oneself
high level of energy
have the drive to learn and succeed
eager to learn and roll up your sleeves
challenge your talent in order to become one of our future
high potentials
General
business
administration
Post graduate qualification in business
Degree should be Business, Marketing, Management,
Commerce
Master’s Degree within Economics or a relevant field of
study is preferred
Business related degree
In a business subject
Ability to plan
and organise
strong capabilities to prioritise, optimise and perform under
limited resources and tight deadlines
project management skills
Ability to think and plan in a proactive manner
Organized and reactive
proactive